Senior Data Platform Engineer AI-Driven Pipelines

MyHealthTeam, Inc.; Redwood City (CA); On-site; USD 140,000 - 190,000; Full time

Job summary

Swoop in Redwood City, CA is seeking a Senior Data Engineer to own NimbleRx’s data platform—the backbone used by product, analytics, and ops teams to understand the business and meet compliance obligations.

You will build batch and streaming pipelines with PySpark/EMR, Kinesis, and S3, model the warehouse, and partner across teams to ship reliable data products. You’ll mentor engineers and drive AI-enabled tooling to accelerate data work.

Qualifications

• 5+ years of experience building production data pipelines and platforms.
• Deep Python (PySpark) and SQL fluency, including tuning Spark jobs at scale.
• The skills and willingness to work on the services around the data layer (Java, Spring Boot)
• Hands-on experience with distributed compute (Spark/EMR), streaming (Kinesis), and object storage (S3)
• Solid Postgres fundamentals — query optimization, indexing, replication, replica routing, and a feel for when the database is the bottleneck
• Experience with Iceberg and Trino, or similar
• Comfort with CI/CD and Terraform
• Already building with AI — frontier models, agentic coding tools, or something you hacked together last weekend
• Track record of working across teams that don’t speak your language (product, ops, etc.)

Responsibilities

• Own the data platform end-to-end — ingestion, transformation, storage, query, and access — and drive its roadmap as the company’s data needs grow.
• Build and evolve batch and streaming pipelines on PySpark/EMR, Kinesis, Lambda, and Step Functions, ingesting from Postgres, Salesforce, third-party vendors, and product event streams into our Iceberg-based lake.
• Model the warehouse: design SCD tables, event tables, and the conventions other engineers and analysts follow when adding new data.
• Partner with product, engineering, analytics, and operations stakeholders across the company to turn data requests into well-scoped, reliable pipelines — and write the docs and tooling that let them self-serve next time.
• Own the security and compliance backbone of our data systems, including audit logging, access control, and temporary-access workflows.
• Optimize backend query performance where the data layer meets product code — read-replica routing, indexing, caching, and IO instrumentation in our Java/Spring services.
• Lead investigation and remediation when data infrastructure misbehaves — IOPS spikes, pipeline failures, schema drift, late data — and make the fixes durable.
• Use AI as a daily accelerant for pipeline scaffolding, schema work, and ad-hoc investigations — and ship internal AI tooling that lets other teams do the same.
• Mentor engineers and analysts across the company on how to work with the data platform.

Skills

Python

SQL

Mentoring

Cross-functional collaboration

Tools

Java

Spring Boot

Spark/EMR

Kinesis

S3

Iceberg

Trino

Terraform

CI/CD

AI tooling

Job description

Swoop in Redwood City, CA is seeking a Senior Data Engineer to own NimbleRx’s data platform—the backbone used by product, analytics, and ops teams to understand the business and meet compliance obligations.

You will build batch and streaming pipelines with PySpark/EMR, Kinesis, and S3, model the warehouse, and partner across teams to ship reliable data products. You’ll mentor engineers and drive AI-enabled tooling to accelerate data work.